Overview

Dataset statistics

Number of variables	41
Number of observations	52000
Missing cells	294880
Missing cells (%)	13.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	87.4 MiB
Average record size in memory	1.7 KiB

Variable types

Text	5
DateTime	1
Categorical	22
Numeric	6
Boolean	7

Alerts

`amount_brl` is highly overall correlated with `amount_orig`	High correlation
`amount_orig` is highly overall correlated with `amount_brl`	High correlation
`auth_3ds` is highly overall correlated with `capture_method` and 5 other fields	High correlation
`capture_method` is highly overall correlated with `auth_3ds` and 4 other fields	High correlation
`card_brand` is highly overall correlated with `pix` and 2 other fields	High correlation
`card_present` is highly overall correlated with `auth_3ds` and 5 other fields	High correlation
`channel` is highly overall correlated with `pix`	High correlation
`country_risk_geo` is highly overall correlated with `country_risk_receiver` and 3 other fields	High correlation
`country_risk_ip` is highly overall correlated with `country_risk_sender` and 3 other fields	High correlation
`country_risk_receiver` is highly overall correlated with `country_risk_geo` and 3 other fields	High correlation
`country_risk_sender` is highly overall correlated with `country_risk_ip` and 2 other fields	High correlation
`cross_border` is highly overall correlated with `geo_country` and 3 other fields	High correlation
`currency` is highly overall correlated with `fx_to_brl` and 1 other fields	High correlation
`eci` is highly overall correlated with `auth_3ds` and 5 other fields	High correlation
`fx_to_brl` is highly overall correlated with `currency` and 1 other fields	High correlation
`geo_country` is highly overall correlated with `country_risk_geo` and 5 other fields	High correlation
`geolocation_lat` is highly overall correlated with `cross_border` and 2 other fields	High correlation
`geolocation_lon` is highly overall correlated with `country_risk_geo` and 4 other fields	High correlation
`installments` is highly overall correlated with `pix_flow`	High correlation
`ip_anomaly` is highly overall correlated with `country_risk_ip` and 1 other fields	High correlation
`ip_country` is highly overall correlated with `country_risk_ip` and 3 other fields	High correlation
`ip_proxy_vpn_tor` is highly overall correlated with `sanctions_screening_hit`	High correlation
`issuing_or_acquiring` is highly overall correlated with `pix` and 4 other fields	High correlation
`payment_method` is highly overall correlated with `pix` and 2 other fields	High correlation
`pix` is highly overall correlated with `auth_3ds` and 9 other fields	High correlation
`pix_flow` is highly overall correlated with `currency` and 7 other fields	High correlation
`receiver_country` is highly overall correlated with `country_risk_geo` and 5 other fields	High correlation
`receiver_entity_type` is highly overall correlated with `issuing_or_acquiring` and 2 other fields	High correlation
`sanctions_screening_hit` is highly overall correlated with `auth_3ds` and 7 other fields	High correlation
`sender_country` is highly overall correlated with `country_risk_ip` and 2 other fields	High correlation
`sender_entity_type` is highly overall correlated with `issuing_or_acquiring` and 2 other fields	High correlation
`transaction_type` is highly overall correlated with `auth_3ds` and 8 other fields	High correlation
`sender_entity_type` is highly imbalanced (52.9%)	Imbalance
`currency` is highly imbalanced (82.0%)	Imbalance
`fx_to_brl` is highly imbalanced (82.0%)	Imbalance
`status` is highly imbalanced (73.6%)	Imbalance
`pix_flow` is highly imbalanced (52.9%)	Imbalance
`geo_country` is highly imbalanced (67.3%)	Imbalance
`ip_country` is highly imbalanced (91.4%)	Imbalance
`ip_anomaly` is highly imbalanced (96.5%)	Imbalance
`device_rooted` is highly imbalanced (80.5%)	Imbalance
`sender_country` is highly imbalanced (94.5%)	Imbalance
`receiver_country` is highly imbalanced (70.4%)	Imbalance
`country_risk_geo` is highly imbalanced (85.6%)	Imbalance
`country_risk_ip` is highly imbalanced (93.7%)	Imbalance
`country_risk_sender` is highly imbalanced (97.6%)	Imbalance
`country_risk_receiver` is highly imbalanced (87.0%)	Imbalance
`sanctions_screening_hit` is highly imbalanced (99.9%)	Imbalance
`payment_method` has 34070 (65.5%) missing values	Missing
`issuing_or_acquiring` has 34070 (65.5%) missing values	Missing
`pix_flow` has 20453 (39.3%) missing values	Missing
`card_brand` has 34070 (65.5%) missing values	Missing
`card_present` has 34070 (65.5%) missing values	Missing
`auth_3ds` has 44905 (86.4%) missing values	Missing
`eci` has 44905 (86.4%) missing values	Missing
`ip_proxy_vpn_tor` has 48337 (93.0%) missing values	Missing
`transaction_id` has unique values	Unique
`device_fingerprint` has unique values	Unique
`ip_address` has unique values	Unique

Reproduction

Analysis started	2026-02-07 14:28:08.204721
Analysis finished	2026-02-07 14:28:17.631206
Duration	9.43 seconds
Software version	ydata-profiling vv4.18.1
Download configuration	config.json

transaction_id
Text

Unique

Distinct	52000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	676000
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52000 ?
Unique (%)	100.0%

Sample

1st row	T9HIMVHJ8TMK7
2nd row	TRY1GG0393ZEQ
3rd row	TYVX10N3OXT1H
4th row	TEXB9LV0C1BOI
5th row	T9HZ6Z1DWO12V

Value	Count	Frequency (%)
t9himvhj8tmk7	1	< 0.1%
try1gg0393zeq	1	< 0.1%
tyvx10n3oxt1h	1	< 0.1%
texb9lv0c1boi	1	< 0.1%
t9hz6z1dwo12v	1	< 0.1%
t394id0rl2n3l	1	< 0.1%
tpqmbmp27ngzk	1	< 0.1%
t1aj938l2psxf	1	< 0.1%
tx0gk853yyawo	1	< 0.1%
tuilbkr4582ye	1	< 0.1%
Other values (51990)	51990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
T	69433	10.3%
B	17579	2.6%
R	17565	2.6%
9	17565	2.6%
I	17515	2.6%
D	17506	2.6%
C	17494	2.6%
U	17485	2.6%
2	17482	2.6%
5	17479	2.6%
Other values (26)	448897	66.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	676000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
T	69433	10.3%
B	17579	2.6%
R	17565	2.6%
9	17565	2.6%
I	17515	2.6%
D	17506	2.6%
C	17494	2.6%
U	17485	2.6%
2	17482	2.6%
5	17479	2.6%
Other values (26)	448897	66.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	676000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
T	69433	10.3%
B	17579	2.6%
R	17565	2.6%
9	17565	2.6%
I	17515	2.6%
D	17506	2.6%
C	17494	2.6%
U	17485	2.6%
2	17482	2.6%
5	17479	2.6%
Other values (26)	448897	66.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	676000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
T	69433	10.3%
B	17579	2.6%
R	17565	2.6%
9	17565	2.6%
I	17515	2.6%
D	17506	2.6%
C	17494	2.6%
U	17485	2.6%
2	17482	2.6%
5	17479	2.6%
Other values (26)	448897	66.4%

timestamp
Date

Distinct	51837
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	406.4 KiB

Minimum	2025-07-01 00:09:59
Maximum	2025-10-04 23:58:57
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

transaction_type
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

PIX	31547
Card	17930
Wire	2523

Length

Max length	4
Median length	3
Mean length	3.3933269
Min length	3

Characters and Unicode

Total characters	176453
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PIX
2nd row	PIX
3rd row	PIX
4th row	PIX
5th row	PIX

Common Values

Value	Count	Frequency (%)
PIX	31547	60.7%
Card	17930	34.5%
Wire	2523	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pix	31547	60.7%
card	17930	34.5%
wire	2523	4.9%

Most occurring characters

Value	Count	Frequency (%)
P	31547	17.9%
I	31547	17.9%
X	31547	17.9%
r	20453	11.6%
C	17930	10.2%
a	17930	10.2%
d	17930	10.2%
W	2523	1.4%
i	2523	1.4%
e	2523	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	176453	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
P	31547	17.9%
I	31547	17.9%
X	31547	17.9%
r	20453	11.6%
C	17930	10.2%
a	17930	10.2%
d	17930	10.2%
W	2523	1.4%
i	2523	1.4%
e	2523	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	176453	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
P	31547	17.9%
I	31547	17.9%
X	31547	17.9%
r	20453	11.6%
C	17930	10.2%
a	17930	10.2%
d	17930	10.2%
W	2523	1.4%
i	2523	1.4%
e	2523	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	176453	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
P	31547	17.9%
I	31547	17.9%
X	31547	17.9%
r	20453	11.6%
C	17930	10.2%
a	17930	10.2%
d	17930	10.2%
W	2523	1.4%
i	2523	1.4%
e	2523	1.4%

sender_id
Text

Distinct	3497
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	364000
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	0.1%

Sample

1st row	C100602
2nd row	C101190
3rd row	C101811
4th row	C100023
5th row	M200612

Value	Count	Frequency (%)
c101341	36	0.1%
c100590	35	0.1%
c100932	33	0.1%
c101048	32	0.1%
c101647	32	0.1%
c101874	32	0.1%
c100611	31	0.1%
c102348	31	0.1%
c100418	30	0.1%
c100274	30	0.1%
Other values (3487)	51678	99.4%

Most occurring characters

Value	Count	Frequency (%)
0	92386	25.4%
1	81810	22.5%
C	46760	12.8%
2	31222	8.6%
4	16695	4.6%
3	16541	4.5%
7	14916	4.1%
6	14768	4.1%
8	14626	4.0%
5	14568	4.0%
Other values (2)	19708	5.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	364000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	92386	25.4%
1	81810	22.5%
C	46760	12.8%
2	31222	8.6%
4	16695	4.6%
3	16541	4.5%
7	14916	4.1%
6	14768	4.1%
8	14626	4.0%
5	14568	4.0%
Other values (2)	19708	5.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	364000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	92386	25.4%
1	81810	22.5%
C	46760	12.8%
2	31222	8.6%
4	16695	4.6%
3	16541	4.5%
7	14916	4.1%
6	14768	4.1%
8	14626	4.0%
5	14568	4.0%
Other values (2)	19708	5.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	364000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	92386	25.4%
1	81810	22.5%
C	46760	12.8%
2	31222	8.6%
4	16695	4.6%
3	16541	4.5%
7	14916	4.1%
6	14768	4.1%
8	14626	4.0%
5	14568	4.0%
Other values (2)	19708	5.4%

sender_entity_type
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

customer	46760
merchant	5240

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	416000
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	customer
2nd row	customer
3rd row	customer
4th row	customer
5th row	merchant

Common Values

Value	Count	Frequency (%)
customer	46760	89.9%
merchant	5240	10.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
customer	46760	89.9%
merchant	5240	10.1%

Most occurring characters

Value	Count	Frequency (%)
c	52000	12.5%
m	52000	12.5%
t	52000	12.5%
e	52000	12.5%
r	52000	12.5%
s	46760	11.2%
u	46760	11.2%
o	46760	11.2%
h	5240	1.3%
a	5240	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	416000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	52000	12.5%
m	52000	12.5%
t	52000	12.5%
e	52000	12.5%
r	52000	12.5%
s	46760	11.2%
u	46760	11.2%
o	46760	11.2%
h	5240	1.3%
a	5240	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	416000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	52000	12.5%
m	52000	12.5%
t	52000	12.5%
e	52000	12.5%
r	52000	12.5%
s	46760	11.2%
u	46760	11.2%
o	46760	11.2%
h	5240	1.3%
a	5240	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	416000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	52000	12.5%
m	52000	12.5%
t	52000	12.5%
e	52000	12.5%
r	52000	12.5%
s	46760	11.2%
u	46760	11.2%
o	46760	11.2%
h	5240	1.3%
a	5240	1.3%

receiver_id
Text

Distinct	3485
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	364000
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	74 ?
Unique (%)	0.1%

Sample

1st row	M200223
2nd row	M200471
3rd row	C101070
4th row	C101820
5th row	C101267

Value	Count	Frequency (%)
m200761	59	0.1%
m200143	58	0.1%
m200420	58	0.1%
m200385	58	0.1%
m200748	56	0.1%
m200324	56	0.1%
m200224	55	0.1%
m200972	55	0.1%
m200338	54	0.1%
m200075	54	0.1%
Other values (3475)	51437	98.9%

Most occurring characters

Value	Count	Frequency (%)
0	112052	30.8%
2	57425	15.8%
M	39170	10.8%
1	33814	9.3%
4	15996	4.4%
3	15957	4.4%
8	15423	4.2%
5	15421	4.2%
7	15398	4.2%
6	15332	4.2%
Other values (2)	28012	7.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	364000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	112052	30.8%
2	57425	15.8%
M	39170	10.8%
1	33814	9.3%
4	15996	4.4%
3	15957	4.4%
8	15423	4.2%
5	15421	4.2%
7	15398	4.2%
6	15332	4.2%
Other values (2)	28012	7.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	364000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	112052	30.8%
2	57425	15.8%
M	39170	10.8%
1	33814	9.3%
4	15996	4.4%
3	15957	4.4%
8	15423	4.2%
5	15421	4.2%
7	15398	4.2%
6	15332	4.2%
Other values (2)	28012	7.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	364000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	112052	30.8%
2	57425	15.8%
M	39170	10.8%
1	33814	9.3%
4	15996	4.4%
3	15957	4.4%
8	15423	4.2%
5	15421	4.2%
7	15398	4.2%
6	15332	4.2%
Other values (2)	28012	7.7%

receiver_entity_type
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

merchant	39170
customer	12830

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	416000
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	merchant
2nd row	merchant
3rd row	customer
4th row	customer
5th row	customer

Common Values

Value	Count	Frequency (%)
merchant	39170	75.3%
customer	12830	24.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
merchant	39170	75.3%
customer	12830	24.7%

Most occurring characters

Value	Count	Frequency (%)
m	52000	12.5%
e	52000	12.5%
r	52000	12.5%
c	52000	12.5%
t	52000	12.5%
a	39170	9.4%
h	39170	9.4%
n	39170	9.4%
u	12830	3.1%
s	12830	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	416000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
m	52000	12.5%
e	52000	12.5%
r	52000	12.5%
c	52000	12.5%
t	52000	12.5%
a	39170	9.4%
h	39170	9.4%
n	39170	9.4%
u	12830	3.1%
s	12830	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	416000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
m	52000	12.5%
e	52000	12.5%
r	52000	12.5%
c	52000	12.5%
t	52000	12.5%
a	39170	9.4%
h	39170	9.4%
n	39170	9.4%
u	12830	3.1%
s	12830	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	416000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
m	52000	12.5%
e	52000	12.5%
r	52000	12.5%
c	52000	12.5%
t	52000	12.5%
a	39170	9.4%
h	39170	9.4%
n	39170	9.4%
u	12830	3.1%
s	12830	3.1%

amount_brl
Real number (ℝ)

High correlation

Distinct	50201
Distinct (%)	96.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4424.1896

Minimum	26.07
Maximum	140910.35
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	406.4 KiB

Quantile statistics

Minimum	26.07
5-th percentile	526.137
Q1	1376.1975
median	2685.665
Q3	5268.2475
95-th percentile	13792.631
Maximum	140910.35
Range	140884.28
Interquartile range (IQR)	3892.05

Descriptive statistics

Standard deviation	5669.3072
Coefficient of variation (CV)	1.2814341
Kurtosis	48.104187
Mean	4424.1896
Median Absolute Deviation (MAD)	1599.86
Skewness	4.9509244
Sum	2.3005786 × 10⁸
Variance	32141044
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2872.36	4	< 0.1%
1395.3	3	< 0.1%
2593.24	3	< 0.1%
2009.85	3	< 0.1%
1525.5	3	< 0.1%
1334.41	3	< 0.1%
2617.04	3	< 0.1%
1427.75	3	< 0.1%
1502.5	3	< 0.1%
3063.56	3	< 0.1%
Other values (50191)	51969	99.9%

Value	Count	Frequency (%)
26.07	1	< 0.1%
44.86	1	< 0.1%
48.73	1	< 0.1%
51.65	1	< 0.1%
51.78	1	< 0.1%
53.2	1	< 0.1%
53.39	1	< 0.1%
60.47	1	< 0.1%
63.14	1	< 0.1%
63.98	1	< 0.1%

Value	Count	Frequency (%)
140910.35	1	< 0.1%
130114.24	1	< 0.1%
125782.45	1	< 0.1%
116387.08	1	< 0.1%
106455.07	1	< 0.1%
103439.38	1	< 0.1%
102037.12	1	< 0.1%
84323.52	1	< 0.1%
82628.68	1	< 0.1%
79147.97	1	< 0.1%

amount_orig
Real number (ℝ)

High correlation

Distinct	50191
Distinct (%)	96.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4278.8679

Minimum	23.12
Maximum	130114.24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	406.4 KiB

Quantile statistics

Minimum	23.12
5-th percentile	433.099
Q1	1275.95
median	2563.795
Q3	5100.9775
95-th percentile	13558.234
Maximum	130114.24
Range	130091.12
Interquartile range (IQR)	3825.0275

Descriptive statistics

Standard deviation	5584.4542
Coefficient of variation (CV)	1.3051242
Kurtosis	44.139836
Mean	4278.8679
Median Absolute Deviation (MAD)	1581.145
Skewness	4.833793
Sum	2.2250113 × 10⁸
Variance	31186129
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2872.36	4	< 0.1%
2043.11	3	< 0.1%
2009.85	3	< 0.1%
1275.91	3	< 0.1%
1160.55	3	< 0.1%
616.15	3	< 0.1%
1427.75	3	< 0.1%
325.25	3	< 0.1%
1254.46	3	< 0.1%
2429.79	3	< 0.1%
Other values (50181)	51969	99.9%

Value	Count	Frequency (%)
23.12	1	< 0.1%
26.07	1	< 0.1%
27.06	1	< 0.1%
28.13	1	< 0.1%
28.6	1	< 0.1%
29.01	1	< 0.1%
29.16	1	< 0.1%
29.24	1	< 0.1%
30.95	1	< 0.1%
31.22	1	< 0.1%

Value	Count	Frequency (%)
130114.24	1	< 0.1%
125782.45	1	< 0.1%
116387.08	1	< 0.1%
106455.07	1	< 0.1%
103439.38	1	< 0.1%
102037.12	1	< 0.1%
84323.52	1	< 0.1%
82628.68	1	< 0.1%
79147.97	1	< 0.1%
76914.46	1	< 0.1%

currency
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

BRL	49893
USD	1067
EUR	1040

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	156000
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BRL
2nd row	BRL
3rd row	BRL
4th row	BRL
5th row	BRL

Common Values

Value	Count	Frequency (%)
BRL	49893	95.9%
USD	1067	2.1%
EUR	1040	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
brl	49893	95.9%
usd	1067	2.1%
eur	1040	2.0%

Most occurring characters

Value	Count	Frequency (%)
R	50933	32.6%
B	49893	32.0%
L	49893	32.0%
U	2107	1.4%
S	1067	0.7%
D	1067	0.7%
E	1040	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	156000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	50933	32.6%
B	49893	32.0%
L	49893	32.0%
U	2107	1.4%
S	1067	0.7%
D	1067	0.7%
E	1040	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	156000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	50933	32.6%
B	49893	32.0%
L	49893	32.0%
U	2107	1.4%
S	1067	0.7%
D	1067	0.7%
E	1040	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	156000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	50933	32.6%
B	49893	32.0%
L	49893	32.0%
U	2107	1.4%
S	1067	0.7%
D	1067	0.7%
E	1040	0.7%

fx_to_brl
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

1	49893
5	1067
6	1040

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	52000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	49893	95.9%
5	1067	2.1%
6	1040	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	49893	95.9%
5	1067	2.1%
6	1040	2.0%

Most occurring characters

Value	Count	Frequency (%)
1	49893	95.9%
5	1067	2.1%
6	1040	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	52000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	49893	95.9%
5	1067	2.1%
6	1040	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	52000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	49893	95.9%
5	1067	2.1%
6	1040	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	52000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	49893	95.9%
5	1067	2.1%
6	1040	2.0%

status
Categorical

Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

Confirmed	47796
Pending	2063
Failed	1071
Chargeback	1070

Length

Max length	10
Median length	9
Mean length	8.8794423
Min length	6

Characters and Unicode

Total characters	461731
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Confirmed
2nd row	Confirmed
3rd row	Confirmed
4th row	Confirmed
5th row	Pending

Common Values

Value	Count	Frequency (%)
Confirmed	47796	91.9%
Pending	2063	4.0%
Failed	1071	2.1%
Chargeback	1070	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
confirmed	47796	91.9%
pending	2063	4.0%
failed	1071	2.1%
chargeback	1070	2.1%

Most occurring characters

Value	Count	Frequency (%)
e	52000	11.3%
n	51922	11.2%
d	50930	11.0%
i	50930	11.0%
r	48866	10.6%
C	48866	10.6%
o	47796	10.4%
f	47796	10.4%
m	47796	10.4%
a	3211	0.7%
Other values (8)	11618	2.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	461731	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	52000	11.3%
n	51922	11.2%
d	50930	11.0%
i	50930	11.0%
r	48866	10.6%
C	48866	10.6%
o	47796	10.4%
f	47796	10.4%
m	47796	10.4%
a	3211	0.7%
Other values (8)	11618	2.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	461731	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	52000	11.3%
n	51922	11.2%
d	50930	11.0%
i	50930	11.0%
r	48866	10.6%
C	48866	10.6%
o	47796	10.4%
f	47796	10.4%
m	47796	10.4%
a	3211	0.7%
Other values (8)	11618	2.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	461731	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	52000	11.3%
n	51922	11.2%
d	50930	11.0%
i	50930	11.0%
r	48866	10.6%
C	48866	10.6%
o	47796	10.4%
f	47796	10.4%
m	47796	10.4%
a	3211	0.7%
Other values (8)	11618	2.5%

channel
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

App	20893
API	20843
Terminal	5156
Web	5108

Length

Max length	8
Median length	3
Mean length	3.4957692
Min length	3

Characters and Unicode

Total characters	181780
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	App
2nd row	App
3rd row	App
4th row	App
5th row	API

Common Values

Value	Count	Frequency (%)
App	20893	40.2%
API	20843	40.1%
Terminal	5156	9.9%
Web	5108	9.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
app	20893	40.2%
api	20843	40.1%
terminal	5156	9.9%
web	5108	9.8%

Most occurring characters

Value	Count	Frequency (%)
p	41786	23.0%
A	41736	23.0%
P	20843	11.5%
I	20843	11.5%
e	10264	5.6%
T	5156	2.8%
r	5156	2.8%
m	5156	2.8%
i	5156	2.8%
n	5156	2.8%
Other values (4)	20528	11.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	181780	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
p	41786	23.0%
A	41736	23.0%
P	20843	11.5%
I	20843	11.5%
e	10264	5.6%
T	5156	2.8%
r	5156	2.8%
m	5156	2.8%
i	5156	2.8%
n	5156	2.8%
Other values (4)	20528	11.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	181780	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
p	41786	23.0%
A	41736	23.0%
P	20843	11.5%
I	20843	11.5%
e	10264	5.6%
T	5156	2.8%
r	5156	2.8%
m	5156	2.8%
i	5156	2.8%
n	5156	2.8%
Other values (4)	20528	11.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	181780	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
p	41786	23.0%
A	41736	23.0%
P	20843	11.5%
I	20843	11.5%
e	10264	5.6%
T	5156	2.8%
r	5156	2.8%
m	5156	2.8%
i	5156	2.8%
n	5156	2.8%
Other values (4)	20528	11.3%

capture_method
Categorical

High correlation

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

QR Dynamic	7956
CopyPaste	7946
QR Static	7859
Pix Key	7786
Magstripe	3655
Other values (6)	16798

Length

Max length	10
Median length	9
Mean length	7.6961731
Min length	3

Characters and Unicode

Total characters	400201
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CopyPaste
2nd row	Pix Key
3rd row	CopyPaste
4th row	Pix Key
5th row	QR Static

Common Values

Value	Count	Frequency (%)
QR Dynamic	7956	15.3%
CopyPaste	7946	15.3%
QR Static	7859	15.1%
Pix Key	7786	15.0%
Magstripe	3655	7.0%
Chip	3612	6.9%
MOTO	3579	6.9%
NFC	3568	6.9%
E-commerce	3516	6.8%
SWIFT	1271	2.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
qr	15815	20.9%
dynamic	7956	10.5%
copypaste	7946	10.5%
static	7859	10.4%
pix	7786	10.3%
key	7786	10.3%
magstripe	3655	4.8%
chip	3612	4.8%
moto	3579	4.7%
nfc	3568	4.7%
Other values (3)	6039	8.0%

Most occurring characters

Value	Count	Frequency (%)
i	32120	8.0%
t	28571	7.1%
e	27671	6.9%
a	27416	6.9%
c	24099	6.0%
y	23688	5.9%
	23601	5.9%
m	16240	4.1%
R	15815	4.0%
Q	15815	4.0%
Other values (22)	165165	41.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	400201	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	32120	8.0%
t	28571	7.1%
e	27671	6.9%
a	27416	6.9%
c	24099	6.0%
y	23688	5.9%
	23601	5.9%
m	16240	4.1%
R	15815	4.0%
Q	15815	4.0%
Other values (22)	165165	41.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	400201	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	32120	8.0%
t	28571	7.1%
e	27671	6.9%
a	27416	6.9%
c	24099	6.0%
y	23688	5.9%
	23601	5.9%
m	16240	4.1%
R	15815	4.0%
Q	15815	4.0%
Other values (22)	165165	41.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	400201	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	32120	8.0%
t	28571	7.1%
e	27671	6.9%
a	27416	6.9%
c	24099	6.0%
y	23688	5.9%
	23601	5.9%
m	16240	4.1%
R	15815	4.0%
Q	15815	4.0%
Other values (22)	165165	41.3%

payment_method
Categorical

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	34070
Missing (%)	65.5%
Memory size	2.8 MiB

credit	9017
debit	8913

Length

Max length	6
Median length	6
Mean length	5.5029002
Min length	5

Characters and Unicode

Total characters	98667
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	credit
2nd row	credit
3rd row	credit
4th row	credit
5th row	credit

Common Values

Value	Count	Frequency (%)
credit	9017	17.3%
debit	8913	17.1%
(Missing)	34070	65.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
credit	9017	50.3%
debit	8913	49.7%

Most occurring characters

Value	Count	Frequency (%)
e	17930	18.2%
i	17930	18.2%
d	17930	18.2%
t	17930	18.2%
c	9017	9.1%
r	9017	9.1%
b	8913	9.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	98667	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	17930	18.2%
i	17930	18.2%
d	17930	18.2%
t	17930	18.2%
c	9017	9.1%
r	9017	9.1%
b	8913	9.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	98667	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	17930	18.2%
i	17930	18.2%
d	17930	18.2%
t	17930	18.2%
c	9017	9.1%
r	9017	9.1%
b	8913	9.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	98667	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	17930	18.2%
i	17930	18.2%
d	17930	18.2%
t	17930	18.2%
c	9017	9.1%
r	9017	9.1%
b	8913	9.0%

installments
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3503654

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	406.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	12
Range	11
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.5343631
Coefficient of variation (CV)	1.1362577
Kurtosis	25.802538
Mean	1.3503654
Median Absolute Deviation (MAD)	0
Skewness	5.0134083
Sum	70219
Variance	2.3542701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	48283	92.9%
2	713	1.4%
6	698	1.3%
8	561	1.1%
3	546	1.1%
10	452	0.9%
4	411	0.8%
12	336	0.6%

Value	Count	Frequency (%)
1	48283	92.9%
2	713	1.4%
3	546	1.1%
4	411	0.8%
6	698	1.3%
8	561	1.1%
10	452	0.9%
12	336	0.6%

Value	Count	Frequency (%)
12	336	0.6%
10	452	0.9%
8	561	1.1%
6	698	1.3%
4	411	0.8%
3	546	1.1%
2	713	1.4%
1	48283	92.9%

issuing_or_acquiring
Categorical

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	34070
Missing (%)	65.5%
Memory size	2.8 MiB

acquiring	13466
issuing	4464

Length

Max length	9
Median length	9
Mean length	8.5020636
Min length	7

Characters and Unicode

Total characters	152442
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	acquiring
2nd row	acquiring
3rd row	acquiring
4th row	issuing
5th row	issuing

Common Values

Value	Count	Frequency (%)
acquiring	13466	25.9%
issuing	4464	8.6%
(Missing)	34070	65.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
acquiring	13466	75.1%
issuing	4464	24.9%

Most occurring characters

Value	Count	Frequency (%)
i	35860	23.5%
g	17930	11.8%
u	17930	11.8%
n	17930	11.8%
a	13466	8.8%
c	13466	8.8%
q	13466	8.8%
r	13466	8.8%
s	8928	5.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	152442	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	35860	23.5%
g	17930	11.8%
u	17930	11.8%
n	17930	11.8%
a	13466	8.8%
c	13466	8.8%
q	13466	8.8%
r	13466	8.8%
s	8928	5.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	152442	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	35860	23.5%
g	17930	11.8%
u	17930	11.8%
n	17930	11.8%
a	13466	8.8%
c	13466	8.8%
q	13466	8.8%
r	13466	8.8%
s	8928	5.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	152442	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	35860	23.5%
g	17930	11.8%
u	17930	11.8%
n	17930	11.8%
a	13466	8.8%
c	13466	8.8%
q	13466	8.8%
r	13466	8.8%
s	8928	5.9%

pix
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.9 KiB

True	31547
False	20453

Value	Count	Frequency (%)
True	31547	60.7%
False	20453	39.3%

pix_flow
Categorical

High correlation Imbalance Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	20453
Missing (%)	39.3%
Memory size	2.8 MiB

cash_out	28373
cash_in	3174

Length

Max length	8
Median length	8
Mean length	7.8993882
Min length	7

Characters and Unicode

Total characters	249202
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	cash_out
2nd row	cash_out
3rd row	cash_out
4th row	cash_out
5th row	cash_in

Common Values

Value	Count	Frequency (%)
cash_out	28373	54.6%
cash_in	3174	6.1%
(Missing)	20453	39.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
cash_out	28373	89.9%
cash_in	3174	10.1%

Most occurring characters

Value	Count	Frequency (%)
c	31547	12.7%
a	31547	12.7%
s	31547	12.7%
h	31547	12.7%
_	31547	12.7%
o	28373	11.4%
u	28373	11.4%
t	28373	11.4%
i	3174	1.3%
n	3174	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	249202	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	31547	12.7%
a	31547	12.7%
s	31547	12.7%
h	31547	12.7%
_	31547	12.7%
o	28373	11.4%
u	28373	11.4%
t	28373	11.4%
i	3174	1.3%
n	3174	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	249202	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	31547	12.7%
a	31547	12.7%
s	31547	12.7%
h	31547	12.7%
_	31547	12.7%
o	28373	11.4%
u	28373	11.4%
t	28373	11.4%
i	3174	1.3%
n	3174	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	249202	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	31547	12.7%
a	31547	12.7%
s	31547	12.7%
h	31547	12.7%
_	31547	12.7%
o	28373	11.4%
u	28373	11.4%
t	28373	11.4%
i	3174	1.3%
n	3174	1.3%

card_brand
Categorical

High correlation Missing

Distinct	5
Distinct (%)	< 0.1%
Missing	34070
Missing (%)	65.5%
Memory size	2.8 MiB

Visa	8041
Mastercard	7156
Amex	1124
Elo	1063
Hipercard	546

Length

Max length	10
Median length	4
Mean length	6.4876185
Min length	3

Characters and Unicode

Total characters	116323
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Visa
2nd row	Elo
3rd row	Mastercard
4th row	Visa
5th row	Visa

Common Values

Value	Count	Frequency (%)
Visa	8041	15.5%
Mastercard	7156	13.8%
Amex	1124	2.2%
Elo	1063	2.0%
Hipercard	546	1.1%
(Missing)	34070	65.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
visa	8041	44.8%
mastercard	7156	39.9%
amex	1124	6.3%
elo	1063	5.9%
hipercard	546	3.0%

Most occurring characters

Value	Count	Frequency (%)
a	22899	19.7%
r	15404	13.2%
s	15197	13.1%
e	8826	7.6%
i	8587	7.4%
V	8041	6.9%
c	7702	6.6%
d	7702	6.6%
t	7156	6.2%
M	7156	6.2%
Other values (8)	7653	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	116323	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	22899	19.7%
r	15404	13.2%
s	15197	13.1%
e	8826	7.6%
i	8587	7.4%
V	8041	6.9%
c	7702	6.6%
d	7702	6.6%
t	7156	6.2%
M	7156	6.2%
Other values (8)	7653	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	116323	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	22899	19.7%
r	15404	13.2%
s	15197	13.1%
e	8826	7.6%
i	8587	7.4%
V	8041	6.9%
c	7702	6.6%
d	7702	6.6%
t	7156	6.2%
M	7156	6.2%
Other values (8)	7653	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	116323	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	22899	19.7%
r	15404	13.2%
s	15197	13.1%
e	8826	7.6%
i	8587	7.4%
V	8041	6.9%
c	7702	6.6%
d	7702	6.6%
t	7156	6.2%
M	7156	6.2%
Other values (8)	7653	6.6%

card_present
Boolean

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	34070
Missing (%)	65.5%
Memory size	101.7 KiB

True	10835
False	7095
(Missing)	34070

Value	Count	Frequency (%)
True	10835	20.8%
False	7095	13.6%
(Missing)	34070	65.5%

auth_3ds
Boolean

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	44905
Missing (%)	86.4%
Memory size	101.7 KiB

False	4633
True	2462
(Missing)	44905

Value	Count	Frequency (%)
False	4633	8.9%
True	2462	4.7%
(Missing)	44905	86.4%

eci
Categorical

High correlation Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	44905
Missing (%)	86.4%
Memory size	2.8 MiB

7.0	4728
5.0	1184
6.0	1183

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21285
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	7.0
2nd row	6.0
3rd row	6.0
4th row	7.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
7.0	4728	9.1%
5.0	1184	2.3%
6.0	1183	2.3%
(Missing)	44905	86.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
7.0	4728	66.6%
5.0	1184	16.7%
6.0	1183	16.7%

Most occurring characters

Value	Count	Frequency (%)
.	7095	33.3%
0	7095	33.3%
7	4728	22.2%
5	1184	5.6%
6	1183	5.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	21285	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	7095	33.3%
0	7095	33.3%
7	4728	22.2%
5	1184	5.6%
6	1183	5.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	21285	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	7095	33.3%
0	7095	33.3%
7	4728	22.2%
5	1184	5.6%
6	1183	5.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	21285	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	7095	33.3%
0	7095	33.3%
7	4728	22.2%
5	1184	5.6%
6	1183	5.6%

mcc
Real number (ℝ)

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5596.0916

Minimum	4111
Maximum	7995
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	406.4 KiB

Quantile statistics

Minimum	4111
5-th percentile	4111
Q1	4829
median	5732
Q3	6011
95-th percentile	7995
Maximum	7995
Range	3884
Interquartile range (IQR)	1182

Descriptive statistics

Standard deviation	880.74155
Coefficient of variation (CV)	0.15738512
Kurtosis	1.2758465
Mean	5596.0916
Median Absolute Deviation (MAD)	321
Skewness	0.80401124
Sum	2.9099676 × 10⁸
Variance	775705.68
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
5999	4377	8.4%
6051	4108	7.9%
4829	3966	7.6%
5945	3955	7.6%
4814	3950	7.6%
6011	3733	7.2%
4111	3726	7.2%
5411	3681	7.1%
4789	3672	7.1%
5732	3589	6.9%
Other values (4)	13243	25.5%

Value	Count	Frequency (%)
4111	3726	7.2%
4789	3672	7.1%
4814	3950	7.6%
4829	3966	7.6%
4900	3445	6.6%
5411	3681	7.1%
5732	3589	6.9%
5812	3167	6.1%
5945	3955	7.6%
5999	4377	8.4%

Value	Count	Frequency (%)
7995	3306	6.4%
6211	3325	6.4%
6051	4108	7.9%
6011	3733	7.2%
5999	4377	8.4%
5945	3955	7.6%
5812	3167	6.1%
5732	3589	6.9%
5411	3681	7.1%
4900	3445	6.6%

geo_country
Categorical

High correlation Imbalance

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

BR	41887
US	2287
DE	1286
AE	1029
PT	920
Other values (15)	4591

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	104000
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BR
2nd row	BR
3rd row	BR
4th row	BR
5th row	BR

Common Values

Value	Count	Frequency (%)
BR	41887	80.6%
US	2287	4.4%
DE	1286	2.5%
AE	1029	2.0%
PT	920	1.8%
GB	764	1.5%
ES	756	1.5%
FR	580	1.1%
CN	547	1.1%
RU	373	0.7%
Other values (10)	1571	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
br	41887	80.6%
us	2287	4.4%
de	1286	2.5%
ae	1029	2.0%
pt	920	1.8%
gb	764	1.5%
es	756	1.5%
fr	580	1.1%
cn	547	1.1%
ru	373	0.7%
Other values (10)	1571	3.0%

Most occurring characters

Value	Count	Frequency (%)
R	43267	41.6%
B	42816	41.2%
E	3410	3.3%
S	3128	3.0%
U	2660	2.6%
A	1447	1.4%
D	1286	1.2%
P	1110	1.1%
T	920	0.9%
G	764	0.7%
Other values (9)	3192	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	43267	41.6%
B	42816	41.2%
E	3410	3.3%
S	3128	3.0%
U	2660	2.6%
A	1447	1.4%
D	1286	1.2%
P	1110	1.1%
T	920	0.9%
G	764	0.7%
Other values (9)	3192	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	43267	41.6%
B	42816	41.2%
E	3410	3.3%
S	3128	3.0%
U	2660	2.6%
A	1447	1.4%
D	1286	1.2%
P	1110	1.1%
T	920	0.9%
G	764	0.7%
Other values (9)	3192	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	43267	41.6%
B	42816	41.2%
E	3410	3.3%
S	3128	3.0%
U	2660	2.6%
A	1447	1.4%
D	1286	1.2%
P	1110	1.1%
T	920	0.9%
G	764	0.7%
Other values (9)	3192	3.1%

geolocation_lat
Real number (ℝ)

High correlation

Distinct	51973
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-4.1711939

Minimum	-54.95725
Maximum	81.906848
Zeros	0
Zeros (%)	0.0%
Negative	36421
Negative (%)	70.0%
Memory size	406.4 KiB

Quantile statistics

Minimum	-54.95725
5-th percentile	-31.416694
Q1	-21.830255
median	-9.810809
Q3	2.3389425
95-th percentile	48.367944
Maximum	81.906848
Range	136.8641
Interquartile range (IQR)	24.169197

Descriptive statistics

Standard deviation	24.088601
Coefficient of variation (CV)	-5.7749894
Kurtosis	0.36806882
Mean	-4.1711939
Median Absolute Deviation (MAD)	12.076955
Skewness	1.0988841
Sum	-216902.08
Variance	580.26068
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-6.876567	2	< 0.1%
-4.334127	2	< 0.1%
39.152063	2	< 0.1%
-29.367525	2	< 0.1%
-0.410159	2	< 0.1%
-23.069856	2	< 0.1%
0.812028	2	< 0.1%
-17.198312	2	< 0.1%
-1.00098	2	< 0.1%
-29.586894	2	< 0.1%
Other values (51963)	51980	> 99.9%

Value	Count	Frequency (%)
-54.95725	1	< 0.1%
-54.392967	1	< 0.1%
-54.300627	1	< 0.1%
-53.96935	1	< 0.1%
-53.941828	1	< 0.1%
-53.92823	1	< 0.1%
-53.825232	1	< 0.1%
-53.818774	1	< 0.1%
-53.796788	1	< 0.1%
-53.67298	1	< 0.1%

Value	Count	Frequency (%)
81.906848	1	< 0.1%
81.853442	1	< 0.1%
81.800799	1	< 0.1%
81.747334	1	< 0.1%
81.687958	1	< 0.1%
81.655761	1	< 0.1%
81.505685	1	< 0.1%
81.374609	1	< 0.1%
81.33931	1	< 0.1%
81.306539	1	< 0.1%

geolocation_lon
Real number (ℝ)

High correlation

Distinct	51977
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-44.021573

Minimum	-124.99382
Maximum	178.80549
Zeros	0
Zeros (%)	0.0%
Negative	46796
Negative (%)	90.0%
Memory size	406.4 KiB

Quantile statistics

Minimum	-124.99382
5-th percentile	-73.337051
Q1	-64.139658
median	-52.212219
Q3	-39.961913
95-th percentile	47.149345
Maximum	178.80549
Range	303.79931
Interquartile range (IQR)	24.177745

Descriptive statistics

Standard deviation	37.010005
Coefficient of variation (CV)	-0.84072427
Kurtosis	6.8520364
Mean	-44.021573
Median Absolute Deviation (MAD)	12.094706
Skewness	2.279144
Sum	-2289121.8
Variance	1369.7405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-66.385225	2	< 0.1%
-57.433178	2	< 0.1%
-68.942624	2	< 0.1%
-41.742585	2	< 0.1%
-41.759375	2	< 0.1%
-45.794863	2	< 0.1%
-73.763934	2	< 0.1%
-58.973943	2	< 0.1%
-60.567534	2	< 0.1%
-52.590699	2	< 0.1%
Other values (51967)	51980	> 99.9%

Value	Count	Frequency (%)
-124.993823	1	< 0.1%
-124.980873	1	< 0.1%
-124.974416	1	< 0.1%
-124.969742	1	< 0.1%
-124.947268	1	< 0.1%
-124.929296	1	< 0.1%
-124.916158	1	< 0.1%
-124.903433	1	< 0.1%
-124.834866	1	< 0.1%
-124.792959	1	< 0.1%

Value	Count	Frequency (%)
178.805489	1	< 0.1%
178.724699	1	< 0.1%
178.103844	1	< 0.1%
177.903879	1	< 0.1%
176.734313	1	< 0.1%
176.713301	1	< 0.1%
176.372476	1	< 0.1%
175.46741	1	< 0.1%
175.088528	1	< 0.1%
174.970738	1	< 0.1%

ip_country
Categorical

High correlation Imbalance

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

BR	50102
US	296
DE	175
AE	170
PT	153
Other values (15)	1104

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	104000
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DE
2nd row	BR
3rd row	BR
4th row	BR
5th row	BR

Common Values

Value	Count	Frequency (%)
BR	50102	96.4%
US	296	0.6%
DE	175	0.3%
AE	170	0.3%
PT	153	0.3%
FR	132	0.3%
GB	119	0.2%
ES	112	0.2%
CN	99	0.2%
RU	79	0.2%
Other values (10)	563	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
br	50102	96.4%
us	296	0.6%
de	175	0.3%
ae	170	0.3%
pt	153	0.3%
fr	132	0.3%
gb	119	0.2%
es	112	0.2%
cn	99	0.2%
ru	79	0.2%
Other values (10)	563	1.1%

Most occurring characters

Value	Count	Frequency (%)
R	50429	48.5%
B	50295	48.4%
E	525	0.5%
S	451	0.4%
U	375	0.4%
A	284	0.3%
Y	233	0.2%
P	213	0.2%
F	182	0.2%
D	175	0.2%
Other values (9)	838	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	50429	48.5%
B	50295	48.4%
E	525	0.5%
S	451	0.4%
U	375	0.4%
A	284	0.3%
Y	233	0.2%
P	213	0.2%
F	182	0.2%
D	175	0.2%
Other values (9)	838	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	50429	48.5%
B	50295	48.4%
E	525	0.5%
S	451	0.4%
U	375	0.4%
A	284	0.3%
Y	233	0.2%
P	213	0.2%
F	182	0.2%
D	175	0.2%
Other values (9)	838	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	50429	48.5%
B	50295	48.4%
E	525	0.5%
S	451	0.4%
U	375	0.4%
A	284	0.3%
Y	233	0.2%
P	213	0.2%
F	182	0.2%
D	175	0.2%
Other values (9)	838	0.8%

ip_anomaly
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.9 KiB

False	51810
True	190

Value	Count	Frequency (%)
False	51810	99.6%
True	190	0.4%

ip_proxy_vpn_tor
Categorical

High correlation Missing

Distinct	3
Distinct (%)	0.1%
Missing	48337
Missing (%)	93.0%
Memory size	2.8 MiB

VPN	2124
Proxy	996
Tor	543

Length

Max length	5
Median length	3
Mean length	3.5438165
Min length	3

Characters and Unicode

Total characters	12981
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	VPN
2nd row	VPN
3rd row	VPN
4th row	VPN
5th row	VPN

Common Values

Value	Count	Frequency (%)
VPN	2124	4.1%
Proxy	996	1.9%
Tor	543	1.0%
(Missing)	48337	93.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
vpn	2124	58.0%
proxy	996	27.2%
tor	543	14.8%

Most occurring characters

Value	Count	Frequency (%)
P	3120	24.0%
V	2124	16.4%
N	2124	16.4%
r	1539	11.9%
o	1539	11.9%
x	996	7.7%
y	996	7.7%
T	543	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12981	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
P	3120	24.0%
V	2124	16.4%
N	2124	16.4%
r	1539	11.9%
o	1539	11.9%
x	996	7.7%
y	996	7.7%
T	543	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12981	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
P	3120	24.0%
V	2124	16.4%
N	2124	16.4%
r	1539	11.9%
o	1539	11.9%
x	996	7.7%
y	996	7.7%
T	543	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12981	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
P	3120	24.0%
V	2124	16.4%
N	2124	16.4%
r	1539	11.9%
o	1539	11.9%
x	996	7.7%
y	996	7.7%
T	543	4.2%

device_fingerprint
Text

Unique

Distinct	52000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 MiB

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	832000
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52000 ?
Unique (%)	100.0%

Sample

1st row	poq50ptmz8g3pgoh
2nd row	ve5ar34n3q5arhcn
3rd row	bnv7ad7zrmn7cgfh
4th row	h96qnwm3yju8wdd9
5th row	elmh8kqwykznkcfz

Value	Count	Frequency (%)
poq50ptmz8g3pgoh	1	< 0.1%
ve5ar34n3q5arhcn	1	< 0.1%
bnv7ad7zrmn7cgfh	1	< 0.1%
h96qnwm3yju8wdd9	1	< 0.1%
elmh8kqwykznkcfz	1	< 0.1%
uv62ap2zve3i4v0r	1	< 0.1%
jl2cwglejty90qvt	1	< 0.1%
x10217gdx1i4hbeu	1	< 0.1%
b3od13zwwn6ar81d	1	< 0.1%
1qyg9doxytdb9quq	1	< 0.1%
Other values (51990)	51990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
t	23373	2.8%
g	23343	2.8%
7	23341	2.8%
h	23313	2.8%
9	23287	2.8%
1	23268	2.8%
n	23219	2.8%
s	23210	2.8%
c	23193	2.8%
j	23179	2.8%
Other values (26)	599274	72.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	832000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	23373	2.8%
g	23343	2.8%
7	23341	2.8%
h	23313	2.8%
9	23287	2.8%
1	23268	2.8%
n	23219	2.8%
s	23210	2.8%
c	23193	2.8%
j	23179	2.8%
Other values (26)	599274	72.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	832000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	23373	2.8%
g	23343	2.8%
7	23341	2.8%
h	23313	2.8%
9	23287	2.8%
1	23268	2.8%
n	23219	2.8%
s	23210	2.8%
c	23193	2.8%
j	23179	2.8%
Other values (26)	599274	72.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	832000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	23373	2.8%
g	23343	2.8%
7	23341	2.8%
h	23313	2.8%
9	23287	2.8%
1	23268	2.8%
n	23219	2.8%
s	23210	2.8%
c	23193	2.8%
j	23179	2.8%
Other values (26)	599274	72.0%

ip_address
Text

Unique

Distinct	52000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Length

Max length	15
Median length	14
Mean length	13.282462
Min length	8

Characters and Unicode

Total characters	690688
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52000 ?
Unique (%)	100.0%

Sample

1st row	193.59.218.134
2nd row	118.247.245.154
3rd row	169.185.50.15
4th row	150.97.162.214
5th row	23.56.92.120

Value	Count	Frequency (%)
193.59.218.134	1	< 0.1%
118.247.245.154	1	< 0.1%
169.185.50.15	1	< 0.1%
150.97.162.214	1	< 0.1%
23.56.92.120	1	< 0.1%
254.40.197.205	1	< 0.1%
197.246.64.19	1	< 0.1%
159.199.221.41	1	< 0.1%
155.240.142.23	1	< 0.1%
140.177.222.163	1	< 0.1%
Other values (51990)	51990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
.	156000	22.6%
1	126740	18.3%
2	90859	13.2%
3	45613	6.6%
4	45540	6.6%
5	42254	6.1%
0	37107	5.4%
7	36746	5.3%
9	36729	5.3%
8	36673	5.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	690688	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	156000	22.6%
1	126740	18.3%
2	90859	13.2%
3	45613	6.6%
4	45540	6.6%
5	42254	6.1%
0	37107	5.4%
7	36746	5.3%
9	36729	5.3%
8	36673	5.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	690688	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	156000	22.6%
1	126740	18.3%
2	90859	13.2%
3	45613	6.6%
4	45540	6.6%
5	42254	6.1%
0	37107	5.4%
7	36746	5.3%
9	36729	5.3%
8	36673	5.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	690688	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	156000	22.6%
1	126740	18.3%
2	90859	13.2%
3	45613	6.6%
4	45540	6.6%
5	42254	6.1%
0	37107	5.4%
7	36746	5.3%
9	36729	5.3%
8	36673	5.3%

device_rooted
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.9 KiB

False	50438
True	1562

Value	Count	Frequency (%)
False	50438	97.0%
True	1562	3.0%

sender_country
Categorical

High correlation Imbalance

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

BR	50826
US	254
DE	143
AE	121
PT	113
Other values (15)	543

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	104000
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BR
2nd row	BR
3rd row	BR
4th row	BR
5th row	BR

Common Values

Value	Count	Frequency (%)
BR	50826	97.7%
US	254	0.5%
DE	143	0.3%
AE	121	0.2%
PT	113	0.2%
FR	90	0.2%
GB	86	0.2%
ES	82	0.2%
CN	65	0.1%
YE	39	0.1%
Other values (10)	181	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
br	50826	97.7%
us	254	0.5%
de	143	0.3%
ae	121	0.2%
pt	113	0.2%
fr	90	0.2%
gb	86	0.2%
es	82	0.2%
cn	65	0.1%
ye	39	0.1%
Other values (10)	181	0.3%

Most occurring characters

Value	Count	Frequency (%)
R	50998	49.0%
B	50929	49.0%
E	385	0.4%
S	342	0.3%
U	290	0.3%
A	166	0.2%
D	143	0.1%
P	135	0.1%
T	113	0.1%
F	104	0.1%
Other values (9)	395	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	50998	49.0%
B	50929	49.0%
E	385	0.4%
S	342	0.3%
U	290	0.3%
A	166	0.2%
D	143	0.1%
P	135	0.1%
T	113	0.1%
F	104	0.1%
Other values (9)	395	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	50998	49.0%
B	50929	49.0%
E	385	0.4%
S	342	0.3%
U	290	0.3%
A	166	0.2%
D	143	0.1%
P	135	0.1%
T	113	0.1%
F	104	0.1%
Other values (9)	395	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	50998	49.0%
B	50929	49.0%
E	385	0.4%
S	342	0.3%
U	290	0.3%
A	166	0.2%
D	143	0.1%
P	135	0.1%
T	113	0.1%
F	104	0.1%
Other values (9)	395	0.4%

receiver_country
Categorical

High correlation Imbalance

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

BR	43061
US	2033
DE	1143
AE	908
PT	807
Other values (15)	4048

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	104000
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BR
2nd row	BR
3rd row	BR
4th row	BR
5th row	BR

Common Values

Value	Count	Frequency (%)
BR	43061	82.8%
US	2033	3.9%
DE	1143	2.2%
AE	908	1.7%
PT	807	1.6%
GB	678	1.3%
ES	674	1.3%
FR	490	0.9%
CN	482	0.9%
RU	337	0.6%
Other values (10)	1387	2.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
br	43061	82.8%
us	2033	3.9%
de	1143	2.2%
ae	908	1.7%
pt	807	1.6%
gb	678	1.3%
es	674	1.3%
fr	490	0.9%
cn	482	0.9%
ru	337	0.6%
Other values (10)	1387	2.7%

Most occurring characters

Value	Count	Frequency (%)
R	44269	42.6%
B	43887	42.2%
E	3025	2.9%
S	2786	2.7%
U	2370	2.3%
A	1281	1.2%
D	1143	1.1%
P	975	0.9%
T	807	0.8%
G	678	0.7%
Other values (9)	2779	2.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	44269	42.6%
B	43887	42.2%
E	3025	2.9%
S	2786	2.7%
U	2370	2.3%
A	1281	1.2%
D	1143	1.1%
P	975	0.9%
T	807	0.8%
G	678	0.7%
Other values (9)	2779	2.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	44269	42.6%
B	43887	42.2%
E	3025	2.9%
S	2786	2.7%
U	2370	2.3%
A	1281	1.2%
D	1143	1.1%
P	975	0.9%
T	807	0.8%
G	678	0.7%
Other values (9)	2779	2.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	104000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	44269	42.6%
B	43887	42.2%
E	3025	2.9%
S	2786	2.7%
U	2370	2.3%
A	1281	1.2%
D	1143	1.1%
P	975	0.9%
T	807	0.8%
G	678	0.7%
Other values (9)	2779	2.7%

country_risk_geo
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Low	50392
Monitored	1018
High	590

Length

Max length	9
Median length	3
Mean length	3.1288077
Min length	3

Characters and Unicode

Total characters	162698
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low
2nd row	Low
3rd row	Low
4th row	Low
5th row	Low

Common Values

Value	Count	Frequency (%)
Low	50392	96.9%
Monitored	1018	2.0%
High	590	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low	50392	96.9%
monitored	1018	2.0%
high	590	1.1%

Most occurring characters

Value	Count	Frequency (%)
o	52428	32.2%
L	50392	31.0%
w	50392	31.0%
i	1608	1.0%
M	1018	0.6%
n	1018	0.6%
t	1018	0.6%
r	1018	0.6%
e	1018	0.6%
d	1018	0.6%
Other values (3)	1770	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	162698	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	52428	32.2%
L	50392	31.0%
w	50392	31.0%
i	1608	1.0%
M	1018	0.6%
n	1018	0.6%
t	1018	0.6%
r	1018	0.6%
e	1018	0.6%
d	1018	0.6%
Other values (3)	1770	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	162698	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	52428	32.2%
L	50392	31.0%
w	50392	31.0%
i	1608	1.0%
M	1018	0.6%
n	1018	0.6%
t	1018	0.6%
r	1018	0.6%
e	1018	0.6%
d	1018	0.6%
Other values (3)	1770	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	162698	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	52428	32.2%
L	50392	31.0%
w	50392	31.0%
i	1608	1.0%
M	1018	0.6%
n	1018	0.6%
t	1018	0.6%
r	1018	0.6%
e	1018	0.6%
d	1018	0.6%
Other values (3)	1770	1.1%

country_risk_ip
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Low	51422
Monitored	310
High	268

Length

Max length	9
Median length	3
Mean length	3.0409231
Min length	3

Characters and Unicode

Total characters	158128
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low
2nd row	Low
3rd row	Low
4th row	Low
5th row	Low

Common Values

Value	Count	Frequency (%)
Low	51422	98.9%
Monitored	310	0.6%
High	268	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low	51422	98.9%
monitored	310	0.6%
high	268	0.5%

Most occurring characters

Value	Count	Frequency (%)
o	52042	32.9%
L	51422	32.5%
w	51422	32.5%
i	578	0.4%
M	310	0.2%
n	310	0.2%
t	310	0.2%
r	310	0.2%
e	310	0.2%
d	310	0.2%
Other values (3)	804	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	158128	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	52042	32.9%
L	51422	32.5%
w	51422	32.5%
i	578	0.4%
M	310	0.2%
n	310	0.2%
t	310	0.2%
r	310	0.2%
e	310	0.2%
d	310	0.2%
Other values (3)	804	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	158128	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	52042	32.9%
L	51422	32.5%
w	51422	32.5%
i	578	0.4%
M	310	0.2%
n	310	0.2%
t	310	0.2%
r	310	0.2%
e	310	0.2%
d	310	0.2%
Other values (3)	804	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	158128	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	52042	32.9%
L	51422	32.5%
w	51422	32.5%
i	578	0.4%
M	310	0.2%
n	310	0.2%
t	310	0.2%
r	310	0.2%
e	310	0.2%
d	310	0.2%
Other values (3)	804	0.5%

country_risk_sender
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Low	51811
Monitored	114
High	75

Length

Max length	9
Median length	3
Mean length	3.0145962
Min length	3

Characters and Unicode

Total characters	156759
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low
2nd row	Low
3rd row	Low
4th row	Low
5th row	Low

Common Values

Value	Count	Frequency (%)
Low	51811	99.6%
Monitored	114	0.2%
High	75	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low	51811	99.6%
monitored	114	0.2%
high	75	0.1%

Most occurring characters

Value	Count	Frequency (%)
o	52039	33.2%
L	51811	33.1%
w	51811	33.1%
i	189	0.1%
M	114	0.1%
n	114	0.1%
t	114	0.1%
r	114	0.1%
e	114	0.1%
d	114	0.1%
Other values (3)	225	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	156759	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	52039	33.2%
L	51811	33.1%
w	51811	33.1%
i	189	0.1%
M	114	0.1%
n	114	0.1%
t	114	0.1%
r	114	0.1%
e	114	0.1%
d	114	0.1%
Other values (3)	225	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	156759	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	52039	33.2%
L	51811	33.1%
w	51811	33.1%
i	189	0.1%
M	114	0.1%
n	114	0.1%
t	114	0.1%
r	114	0.1%
e	114	0.1%
d	114	0.1%
Other values (3)	225	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	156759	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	52039	33.2%
L	51811	33.1%
w	51811	33.1%
i	189	0.1%
M	114	0.1%
n	114	0.1%
t	114	0.1%
r	114	0.1%
e	114	0.1%
d	114	0.1%
Other values (3)	225	0.1%

country_risk_receiver
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Low	50581
Monitored	904
High	515

Length

Max length	9
Median length	3
Mean length	3.1142115
Min length	3

Characters and Unicode

Total characters	161939
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low
2nd row	Low
3rd row	Low
4th row	Low
5th row	Low

Common Values

Value	Count	Frequency (%)
Low	50581	97.3%
Monitored	904	1.7%
High	515	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low	50581	97.3%
monitored	904	1.7%
high	515	1.0%

Most occurring characters

Value	Count	Frequency (%)
o	52389	32.4%
L	50581	31.2%
w	50581	31.2%
i	1419	0.9%
M	904	0.6%
n	904	0.6%
t	904	0.6%
r	904	0.6%
e	904	0.6%
d	904	0.6%
Other values (3)	1545	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	161939	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	52389	32.4%
L	50581	31.2%
w	50581	31.2%
i	1419	0.9%
M	904	0.6%
n	904	0.6%
t	904	0.6%
r	904	0.6%
e	904	0.6%
d	904	0.6%
Other values (3)	1545	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	161939	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	52389	32.4%
L	50581	31.2%
w	50581	31.2%
i	1419	0.9%
M	904	0.6%
n	904	0.6%
t	904	0.6%
r	904	0.6%
e	904	0.6%
d	904	0.6%
Other values (3)	1545	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	161939	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	52389	32.4%
L	50581	31.2%
w	50581	31.2%
i	1419	0.9%
M	904	0.6%
n	904	0.6%
t	904	0.6%
r	904	0.6%
e	904	0.6%
d	904	0.6%
Other values (3)	1545	1.0%

cross_border
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.9 KiB

False	41887
True	10113

Value	Count	Frequency (%)
False	41887	80.6%
True	10113	19.4%

sanctions_screening_hit
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.9 KiB

False	51998
True	2

Value	Count	Frequency (%)
False	51998	> 99.9%
True	2	< 0.1%

Interactions

Correlations

	amount_brl	amount_orig	auth_3ds	capture_method	card_brand	card_present	channel	country_risk_geo	country_risk_ip	country_risk_receiver	country_risk_sender	cross_border	currency	device_rooted	eci	fx_to_brl	geo_country	geolocation_lat	geolocation_lon	installments	ip_anomaly	ip_country	ip_proxy_vpn_tor	issuing_or_acquiring	mcc	payment_method	pix	pix_flow	receiver_country	receiver_entity_type	sanctions_screening_hit	sender_country	sender_entity_type	status	transaction_type
amount_brl	1.000	0.957	0.012	0.007	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.012	0.000	0.027	0.012	0.000	-0.004	-0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.016	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005
amount_orig	0.957	1.000	0.004	0.005	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.032	0.000	0.022	0.032	0.000	-0.076	-0.038	-0.022	0.000	0.000	0.025	0.000	0.004	0.000	0.014	0.000	0.000	0.000	0.000	0.000	0.006	0.000	0.012
auth_3ds	0.012	0.004	1.000	0.735	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.006	0.516	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	1.000
capture_method	0.007	0.005	0.735	1.000	0.003	1.000	0.355	0.000	0.002	0.000	0.011	0.000	0.184	0.006	0.714	0.184	0.002	0.000	0.000	0.139	0.000	0.007	0.028	0.017	0.000	0.010	1.000	0.009	0.005	0.011	0.037	0.005	0.006	0.000	1.000
card_brand	0.004	0.004	0.000	0.003	1.000	0.000	0.016	0.005	0.009	0.000	0.011	0.004	0.000	0.000	0.012	0.000	0.000	0.004	0.000	0.008	0.000	0.018	0.000	0.000	0.001	0.000	1.000	0.000	0.000	0.000	1.000	0.026	0.000	0.000	1.000
card_present	0.000	0.000	1.000	1.000	0.000	1.000	0.000	0.000	0.000	0.000	0.002	0.000	0.016	0.000	1.000	0.016	0.018	0.000	0.000	0.007	0.000	0.015	0.000	0.000	0.000	0.002	1.000	0.000	0.013	0.000	1.000	0.013	0.000	0.014	1.000
channel	0.000	0.000	0.000	0.355	0.016	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.111	0.002	0.000	0.111	0.007	0.000	0.008	0.109	0.000	0.000	0.000	0.000	0.000	0.000	0.616	0.000	0.000	0.000	0.005	0.011	0.000	0.005	0.435
country_risk_geo	0.000	0.000	0.000	0.000	0.005	0.000	0.000	1.000	0.193	0.937	0.343	0.363	0.100	0.000	0.000	0.100	1.000	0.401	0.540	0.004	0.004	0.206	0.000	0.057	0.062	0.005	0.004	0.011	0.937	0.053	0.058	0.343	0.009	0.004	0.004
country_risk_ip	0.000	0.000	0.000	0.002	0.009	0.000	0.000	0.193	1.000	0.000	0.565	0.073	0.015	0.007	0.000	0.015	0.198	0.067	0.097	0.000	0.841	1.000	0.000	0.044	0.008	0.000	0.000	0.104	0.000	0.050	0.000	0.565	0.100	0.006	0.000
country_risk_receiver	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.937	0.000	1.000	0.004	0.341	0.097	0.000	0.000	0.097	0.938	0.384	0.511	0.000	0.007	0.007	0.000	0.097	0.067	0.000	0.007	0.055	1.000	0.096	0.062	0.000	0.056	0.000	0.006
country_risk_sender	0.000	0.000	0.000	0.011	0.011	0.002	0.000	0.343	0.565	0.004	1.000	0.123	0.024	0.000	0.000	0.024	0.352	0.119	0.175	0.000	0.000	0.602	0.031	0.103	0.009	0.000	0.000	0.185	0.004	0.105	0.000	1.000	0.180	0.012	0.000
cross_border	0.000	0.011	0.000	0.000	0.004	0.000	0.000	0.363	0.073	0.341	0.123	1.000	0.418	0.000	0.000	0.418	1.000	0.982	0.914	0.000	0.004	0.258	0.000	0.150	0.076	0.006	0.000	0.024	0.927	0.149	0.008	0.309	0.025	0.000	0.000
currency	0.012	0.032	0.000	0.184	0.000	0.016	0.111	0.100	0.015	0.097	0.024	0.418	1.000	0.000	0.000	1.000	0.299	0.292	0.275	0.052	0.000	0.076	0.031	0.102	0.024	0.004	0.255	1.000	0.279	0.064	0.043	0.093	0.005	0.000	0.184
device_rooted	0.000	0.000	0.006	0.006	0.000	0.000	0.002	0.000	0.007	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.013	0.000	0.004	0.000	0.004	0.017	0.000	0.009	0.000	0.000	0.000	0.000	0.013	0.000	0.000	0.015	0.000	0.000	0.007
eci	0.027	0.022	0.516	0.714	0.012	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.008	0.018	0.000	0.000	0.000	0.072	0.011	0.000	0.000	1.000	0.000	0.000	0.011	1.000	0.000	0.000	0.000	1.000
fx_to_brl	0.012	0.032	0.000	0.184	0.000	0.016	0.111	0.100	0.015	0.097	0.024	0.418	1.000	0.000	0.000	1.000	0.299	0.292	0.275	0.052	0.000	0.076	0.031	0.102	0.024	0.004	0.255	1.000	0.279	0.064	0.043	0.093	0.005	0.000	0.184
geo_country	0.000	0.000	0.000	0.002	0.000	0.018	0.007	1.000	0.198	0.938	0.352	1.000	0.299	0.013	0.000	0.299	1.000	0.597	0.733	0.000	0.000	0.241	0.000	0.149	0.119	0.021	0.000	0.028	0.937	0.149	0.105	0.345	0.028	0.000	0.000
geolocation_lat	-0.004	-0.076	0.000	0.000	0.004	0.000	0.000	0.401	0.067	0.384	0.119	0.982	0.292	0.000	0.008	0.292	0.597	1.000	0.260	-0.007	0.000	0.146	0.010	0.147	-0.023	0.010	0.000	0.030	0.563	0.145	0.021	0.188	0.029	0.005	0.000
geolocation_lon	-0.000	-0.038	0.000	0.000	0.000	0.000	0.008	0.540	0.097	0.511	0.175	0.914	0.275	0.004	0.018	0.275	0.733	0.260	1.000	-0.006	0.006	0.191	0.000	0.137	-0.021	0.013	0.000	0.025	0.687	0.134	0.031	0.248	0.025	0.000	0.000
installments	0.001	-0.022	0.000	0.139	0.008	0.007	0.109	0.004	0.000	0.000	0.000	0.000	0.052	0.000	0.000	0.052	0.000	-0.007	-0.006	1.000	0.000	0.000	0.000	0.000	0.002	0.446	0.307	1.000	0.000	0.000	0.000	0.007	0.000	0.000	0.241
ip_anomaly	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.841	0.007	0.000	0.004	0.000	0.004	0.000	0.000	0.000	0.000	0.006	0.000	1.000	0.845	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.009	0.000	0.000	0.000	0.000	0.000
ip_country	0.000	0.000	0.000	0.007	0.018	0.015	0.000	0.206	1.000	0.007	0.602	0.258	0.076	0.017	0.000	0.076	0.241	0.146	0.191	0.000	0.845	1.000	0.024	0.219	0.005	0.000	0.017	0.370	0.001	0.217	0.000	0.698	0.373	0.000	0.010
ip_proxy_vpn_tor	0.000	0.025	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.031	0.000	0.031	0.000	0.072	0.031	0.000	0.010	0.000	0.000	0.000	0.024	1.000	0.000	0.020	0.000	0.000	0.000	0.000	0.000	1.000	0.020	0.000	0.000	0.022
issuing_or_acquiring	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.057	0.044	0.097	0.103	0.150	0.102	0.009	0.011	0.102	0.149	0.147	0.137	0.000	0.000	0.219	0.000	1.000	0.037	0.013	1.000	0.000	0.260	1.000	1.000	0.261	0.582	0.007	1.000
mcc	0.000	0.004	0.000	0.000	0.001	0.000	0.000	0.062	0.008	0.067	0.009	0.076	0.024	0.000	0.000	0.024	0.119	-0.023	-0.021	0.002	0.000	0.005	0.020	0.037	1.000	0.000	0.000	0.012	0.126	0.026	0.000	0.012	0.019	0.000	0.000
payment_method	0.016	0.000	0.000	0.010	0.000	0.002	0.000	0.005	0.000	0.000	0.000	0.006	0.004	0.000	0.000	0.004	0.021	0.010	0.013	0.446	0.000	0.000	0.000	0.013	0.000	1.000	1.000	0.000	0.008	0.013	1.000	0.005	0.012	0.007	1.000
pix	0.005	0.014	1.000	1.000	1.000	1.000	0.616	0.004	0.000	0.007	0.000	0.000	0.255	0.000	1.000	0.255	0.000	0.000	0.000	0.307	0.000	0.017	0.000	1.000	0.000	1.000	1.000	1.000	0.000	0.000	0.001	0.006	0.000	0.000	1.000
pix_flow	0.000	0.000	0.000	0.009	0.000	0.000	0.000	0.011	0.104	0.055	0.185	0.024	1.000	0.000	0.000	1.000	0.028	0.030	0.025	1.000	0.000	0.370	0.000	0.000	0.012	0.000	1.000	1.000	0.150	0.585	1.000	0.453	1.000	0.013	1.000
receiver_country	0.000	0.000	0.000	0.005	0.000	0.013	0.000	0.937	0.000	1.000	0.004	0.927	0.279	0.013	0.000	0.279	0.937	0.563	0.687	0.000	0.000	0.001	0.000	0.260	0.126	0.008	0.000	0.150	1.000	0.260	0.112	0.000	0.151	0.000	0.000
receiver_entity_type	0.000	0.000	0.000	0.011	0.000	0.000	0.000	0.053	0.050	0.096	0.105	0.149	0.064	0.000	0.011	0.064	0.149	0.145	0.134	0.000	0.009	0.217	0.000	1.000	0.026	0.013	0.000	0.585	0.260	1.000	0.000	0.265	0.585	0.000	0.000
sanctions_screening_hit	0.000	0.000	1.000	0.037	1.000	1.000	0.005	0.058	0.000	0.062	0.000	0.008	0.043	0.000	1.000	0.043	0.105	0.021	0.031	0.000	0.000	0.000	1.000	1.000	0.000	1.000	0.001	1.000	0.112	0.000	1.000	0.000	0.000	0.000	0.027
sender_country	0.000	0.000	0.000	0.005	0.026	0.013	0.011	0.343	0.565	0.000	1.000	0.309	0.093	0.015	0.000	0.093	0.345	0.188	0.248	0.007	0.000	0.698	0.020	0.261	0.012	0.005	0.006	0.453	0.000	0.265	0.000	1.000	0.454	0.000	0.000
sender_entity_type	0.000	0.006	0.000	0.006	0.000	0.000	0.000	0.009	0.100	0.056	0.180	0.025	0.005	0.000	0.000	0.005	0.028	0.029	0.025	0.000	0.000	0.373	0.000	0.582	0.019	0.012	0.000	1.000	0.151	0.585	0.000	0.454	1.000	0.007	0.000
status	0.000	0.000	0.000	0.000	0.000	0.014	0.005	0.004	0.006	0.000	0.012	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.007	0.000	0.007	0.000	0.013	0.000	0.000	0.000	0.000	0.007	1.000	0.000
transaction_type	0.005	0.012	1.000	1.000	1.000	1.000	0.435	0.004	0.000	0.006	0.000	0.000	0.184	0.007	1.000	0.184	0.000	0.000	0.000	0.241	0.000	0.010	0.022	1.000	0.000	1.000	1.000	1.000	0.000	0.000	0.027	0.000	0.000	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	transaction_id	timestamp	transaction_type	sender_id	sender_entity_type	receiver_id	receiver_entity_type	amount_brl	amount_orig	currency	fx_to_brl	status	channel	capture_method	payment_method	installments	issuing_or_acquiring	pix	pix_flow	card_brand	card_present	auth_3ds	eci	mcc	geo_country	geolocation_lat	geolocation_lon	ip_country	ip_anomaly	ip_proxy_vpn_tor	device_fingerprint	ip_address	device_rooted	sender_country	receiver_country	country_risk_geo	country_risk_ip	country_risk_sender	country_risk_receiver	cross_border	sanctions_screening_hit
0	T9HIMVHJ8TMK7	2025-09-29T01:19:37	PIX	C100602	customer	M200223	merchant	3478.73	3478.73	BRL	1	Confirmed	App	CopyPaste	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	6051	BR	-11.743364	-54.286939	DE	No	NaN	poq50ptmz8g3pgoh	193.59.218.134	No	BR	BR	Low	Low	Low	Low	No	No
1	TRY1GG0393ZEQ	2025-09-07T00:14:11	PIX	C101190	customer	M200471	merchant	3356.15	3356.15	BRL	1	Confirmed	App	Pix Key	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	5945	BR	-0.031356	-62.010354	BR	No	NaN	ve5ar34n3q5arhcn	118.247.245.154	No	BR	BR	Low	Low	Low	Low	No	No
2	TYVX10N3OXT1H	2025-07-01T22:36:33	PIX	C101811	customer	C101070	customer	1595.14	1595.14	BRL	1	Confirmed	App	CopyPaste	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	4111	BR	-17.208767	-66.365148	BR	No	NaN	bnv7ad7zrmn7cgfh	169.185.50.15	No	BR	BR	Low	Low	Low	Low	No	No
3	TEXB9LV0C1BOI	2025-07-28T09:01:56	PIX	C100023	customer	C101820	customer	1074.71	1074.71	BRL	1	Confirmed	App	Pix Key	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	5945	BR	-8.096121	-57.440608	BR	No	VPN	h96qnwm3yju8wdd9	150.97.162.214	No	BR	BR	Low	Low	Low	Low	No	No
4	T9HZ6Z1DWO12V	2025-07-27T00:36:40	PIX	M200612	merchant	C101267	customer	6821.96	6821.96	BRL	1	Pending	API	QR Static	NaN	1	NaN	Yes	cash_in	NaN	NaN	NaN	NaN	6211	BR	-16.441953	-54.044138	BR	No	NaN	elmh8kqwykznkcfz	23.56.92.120	No	BR	BR	Low	Low	Low	Low	No	No
5	T394ID0RL2N3L	2025-10-01T13:50:55	Card	C102082	customer	M200693	merchant	387.99	387.99	BRL	1	Confirmed	Web	Magstripe	credit	10	acquiring	No	NaN	Visa	Yes	NaN	NaN	5812	SY	34.247579	38.489412	BR	No	NaN	uv62ap2zve3i4v0r	254.40.197.205	No	BR	SY	High	Low	Low	High	Yes	No
6	TPQMBMP27NGZK	2025-09-05T05:18:31	PIX	C100174	customer	M200610	merchant	823.88	823.88	BRL	1	Confirmed	API	QR Dynamic	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	4814	AE	23.894823	54.277845	BR	No	NaN	jl2cwglejty90qvt	197.246.64.19	No	BR	AE	Low	Low	Low	Low	Yes	No
7	T1AJ938L2PSXF	2025-09-29T11:19:41	Card	C100001	customer	M200384	merchant	1932.30	322.05	EUR	6	Pending	Web	E-commerce	credit	6	acquiring	No	NaN	Elo	No	No	7.0	4900	GB	57.775295	1.240663	BR	No	NaN	x10217gdx1i4hbeu	159.199.221.41	No	BR	GB	Low	Low	Low	Low	Yes	No
8	TX0GK853YYAWO	2025-07-18T16:27:49	Card	C100202	customer	M200315	merchant	5183.66	5183.66	BRL	1	Confirmed	App	NFC	credit	4	acquiring	No	NaN	Mastercard	Yes	NaN	NaN	4814	BR	-19.960702	-70.383821	BR	No	NaN	b3od13zwwn6ar81d	155.240.142.23	No	BR	BR	Low	Low	Low	Low	No	No
9	TUILBKR4582YE	2025-07-24T07:43:05	PIX	C100384	customer	M200731	merchant	32104.51	32104.51	BRL	1	Confirmed	App	Pix Key	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	5411	BR	-32.593663	-39.621846	BR	No	NaN	1qyg9doxytdb9quq	140.177.222.163	No	BR	BR	Low	Low	Low	Low	No	No

	transaction_id	timestamp	transaction_type	sender_id	sender_entity_type	receiver_id	receiver_entity_type	amount_brl	amount_orig	currency	fx_to_brl	status	channel	capture_method	payment_method	installments	issuing_or_acquiring	pix	pix_flow	card_brand	card_present	auth_3ds	eci	mcc	geo_country	geolocation_lat	geolocation_lon	ip_country	ip_anomaly	ip_proxy_vpn_tor	device_fingerprint	ip_address	device_rooted	sender_country	receiver_country	country_risk_geo	country_risk_ip	country_risk_sender	country_risk_receiver	cross_border	sanctions_screening_hit
51990	TRK52H5I9XMJD	2025-08-04T03:49:34	PIX	C101375	customer	M200889	merchant	4692.07	4692.07	BRL	1	Failed	App	Pix Key	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	5411	BR	-20.956299	-56.080469	BR	No	NaN	zdkl7ejo5iexcbxk	149.210.33.41	No	BR	BR	Low	Low	Low	Low	No	No
51991	T9E8KJ4KMI0T0	2025-08-19T07:43:31	PIX	C102000	customer	M200945	merchant	5901.61	5901.61	BRL	1	Confirmed	API	QR Static	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	4111	DE	47.183372	11.794815	BR	No	NaN	9umgcatryormxwrd	138.254.107.249	No	BR	DE	Low	Low	Low	Low	Yes	No
51992	TYS45VQY6P0LD	2025-07-12T21:53:52	PIX	C101613	customer	M200468	merchant	1443.88	1443.88	BRL	1	Confirmed	App	Pix Key	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	6011	BR	2.133016	-52.778961	BR	No	NaN	yb8atb183juoi82d	118.206.185.28	No	BR	BR	Low	Low	Low	Low	No	No
51993	T55L3Z7BOYW5N	2025-08-05T09:42:11	Card	C101983	customer	M200245	merchant	702.85	702.85	BRL	1	Pending	Terminal	NFC	credit	1	acquiring	No	NaN	Mastercard	Yes	NaN	NaN	5411	BR	-28.364145	-50.054924	BR	No	NaN	8taqjnkjvao4fum4	233.56.178.153	No	BR	BR	Low	Low	Low	Low	No	No
51994	TNOS23AT6UXP6	2025-08-19T17:02:58	PIX	C100165	customer	M200191	merchant	33523.73	33523.73	BRL	1	Confirmed	API	Pix Key	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	6011	BR	1.882078	-64.675605	BR	No	NaN	mc11zbypmg951ue6	19.143.41.197	No	BR	BR	Low	Low	Low	Low	No	No
51995	T49V4YOKJLPQW	2025-07-29T19:49:19	PIX	C101510	customer	M200416	merchant	5199.82	5199.82	BRL	1	Confirmed	App	CopyPaste	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	6211	BR	-28.892878	-65.820391	BR	No	NaN	7rtszixrvg221fz2	202.37.132.125	No	BR	BR	Low	Low	Low	Low	No	No
51996	TWK0BCFWD8M10	2025-07-06T13:45:49	PIX	C102205	customer	M200847	merchant	3488.23	3488.23	BRL	1	Confirmed	API	QR Dynamic	NaN	1	NaN	Yes	cash_out	NaN	NaN	NaN	NaN	4789	ES	40.064282	1.736396	BR	No	NaN	zndnidj9dakimdda	35.157.144.28	No	BR	ES	Low	Low	Low	Low	Yes	No
51997	T09E7BGTZEOHK	2025-09-20T09:02:01	Card	M200016	merchant	C102401	customer	2314.51	2314.51	BRL	1	Confirmed	Web	MOTO	debit	1	issuing	No	NaN	Mastercard	No	No	7.0	5411	BR	-5.934246	-72.775044	BR	No	NaN	ptzo8rfwvy9c88dn	58.157.65.71	No	BR	BR	Low	Low	Low	Low	No	No
51998	TKS3QBCQ5F7Y4	2025-09-15T00:20:18	PIX	M200227	merchant	C100948	customer	1655.20	1655.20	BRL	1	Pending	API	CopyPaste	NaN	1	NaN	Yes	cash_in	NaN	NaN	NaN	NaN	6011	FR	43.266635	1.580092	FR	No	NaN	z8zdg6q07644pry7	75.153.164.128	Yes	FR	BR	Low	Low	Low	Low	Yes	No
51999	T2VCTGH0S2KVJ	2025-07-27T19:49:48	PIX	M200178	merchant	C101632	customer	2784.42	2784.42	BRL	1	Confirmed	App	QR Static	NaN	1	NaN	Yes	cash_in	NaN	NaN	NaN	NaN	6051	BR	-12.792722	-57.939066	BR	No	NaN	pwyubjnaddoo58kx	84.57.205.20	No	BR	BR	Low	Low	Low	Low	No	No

Overview

Variables

Most occurring characters

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(unknown)

Most occurring scripts

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(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script